Indeed, research has shown that AI systems are routinely hobbled by biases within both training data and system design. AI models can also introduce new biases, either by missing subtle information ...

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...

Willkommen. Bienvenue. Welcome. C’mon in. Meta has unveiled Omnilingual Automatic Speech Recognition (ASR), an AI system that can transcribe speech in over 1,600 languages — including 500 low-resource ...

According to @AIatMeta, Meta has introduced the Omnilingual Automatic Speech Recognition (ASR) suite, delivering ASR capabilities for over 1,600 languages, including 500 low-coverage languages ...

Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture ...

Background: Mental disorders have a significant impact on many areas of people’s life, particularly on affective regulation; thus, there is a growing need to find disease-specific biomarkers to ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

School of Computer Science and Technology, Xinjiang Normal University, Xinjiang, China Introduction: We address robustness and efficiency in Chinese automatic speech recognition (ASR), focusing on ...

The Lonestar6 (left) supercomputer and Corral data management and storage systems (right) at the Texas Advanced Computing Center are resources available through allocations awarded by the UT System ...

Abstract: An automatic speech recognition system is important to help Muslims recite the Holy Quran accurately. Most existing research ignores a wide range of potential users (reciters) in their ...